Automatic thresholding for change detection in digital video
Nuredin Habili, Alireza Moini, Neil Burgess · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
In this paper we propose a thresholding technique for change detection in digital video. The technique assumes that the difference image generated from two frames of a video sequence has a trimodal Gaussian distribution and a computationally efficient fitting criterion is employed to find the best match between the data and model. Results show that the technique is capable of detecting true motion in very images.